Less to Lose? Drought Impact and Vulnerability Assessment in Disadvantaged Regions
Abstract
:1. Introduction
Assessing Vulnerability through Decentralized and Community Level Assessments
“The principle of being fair and impartial, and a basis for understanding how the impacts and responses to climate change, including costs and benefits, are distributed in and by society in more or less equal ways. It is often aligned with ideas of equality, fairness and justice and applied with respect to equity in the responsibility for, and distribution of, climate impacts and policies across society, generations, and gender, and in the sense of who participates and controls the processes of decision making.”
2. Materials and Methods
3. Identification of Equity Issues Within the Three Assessment Approaches
3.1. Ecosystem-Based Mapping and Modelling: Examples from Latin America and the Sahel
3.2. People-Centred Livelihoods Assessment Approaches: Examples from the Horn of Africa
3.3. Basin or Catchment Level Resource Accounting: Examples from India
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
References
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Approach | Characterization of Approach | Strengths | Weaknesses |
---|---|---|---|
People-centred | Focuses on people, their assets and ability to recover from drought | Ensures people-centered analysis, broader than income only Includes presentation of economic case at household level Can accommodate long-term time horizon Considers capacities of different kinds Familiar to practitioners. Connects to agro-ecosystems | Data-intensive and time consuming Focuses on household scale—may not be multiscale May not capture effects on the national and regional economy Can favor recommendations to diversify the livelihood portfolio Can miss effects that deepen long term systemic vulnerability Often misses identification of strategic water management solutions |
Land or ecosystem-based | Focuses on ecosystems, their productivity and responses to climate anomalies | Ensures coverage of resource-dependent production systems Can connect to climate models and to economic models Can be mapped and monitored at low cost using satellite derived data Many agricultural adaptation options likely to be identified Familiar to agricultural extension systems and capacities in place | Inclusion of poor and marginal groups not always systematic More oriented to agriculture than other sectors May not capture vulnerabilities in urban areas Not necessarily long term Focuses on field scale—may not be multiscale May have relatively short time horizons Does not consider water needs in other sectors of the economy |
Water balanced | Focuses on water availability, and relation to demands from different sectors of the economy, management systems and hydro-climatic cycles | Considers water availability and demand across the economy including in urban areas Makes effective use of climate models and scenarios Connects to drought monitoring and early warning systems Can enable identification of capacity needs Can enable identification of risk management actions | Institutional challenges to coordinate data collection, management and analysis Data on water extractions often incomplete in drought-affected areas May require information on groundwater management Municipal and industrial water extractions growing faster and less well understood than agricultural water use Transboundary issues, political and security sensitivities in some countries |
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King-Okumu, C.; Tsegai, D.; Pandey, R.P.; Rees, G. Less to Lose? Drought Impact and Vulnerability Assessment in Disadvantaged Regions. Water 2020, 12, 1136. https://doi.org/10.3390/w12041136
King-Okumu C, Tsegai D, Pandey RP, Rees G. Less to Lose? Drought Impact and Vulnerability Assessment in Disadvantaged Regions. Water. 2020; 12(4):1136. https://doi.org/10.3390/w12041136
Chicago/Turabian StyleKing-Okumu, Caroline, Daniel Tsegai, Rajendra Prasad Pandey, and Gwyn Rees. 2020. "Less to Lose? Drought Impact and Vulnerability Assessment in Disadvantaged Regions" Water 12, no. 4: 1136. https://doi.org/10.3390/w12041136